大数据与数据主权的政策设计:以韩国版权和CCL为例

Hyejung Moon, H. Cho
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引用次数: 3

摘要

本文的研究目的如下。首先,我试图将大数据概念化为一个社会问题。第二,我想解释一下大数据和传统海量信息的区别。第三,我想推荐政府在利用大数据作为政策工具方面的作用。第四,在参考版权和知识共享许可(CCL)案例的同时,我想从数据主权的角度来解释大数据的监管。最后,我想提出一个大数据政策设计的方向。从本研究的结果来看,应该将大数据政策设计与大信息政策设计区分开来,以解决数据主权问题。从法律体系的角度看,大数据是自主生成的。它在没有任何意图的情况下被公开访问和分享。从市场的角度来看,大数据是无意中产生的。大数据可以在开放的情况下自动更改,具有数据关联等参考功能。应该提出责任和真实性等政策问题。从技术角度看,大数据的产生方式是分布式的、多样化的,没有具体的形式。所以,我们需要一种不同的方法。
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Big Data and Policy Design for Data Sovereignty: A Case Study on Copyright and CCL in South Korea
The purpose of this paper is as follows. First, I am trying to conceptualize big data as a social problem. Second, I would like to explain the difference between big data and conventional mega information. Third, I would like to recommend the role of the government for utilization of big data as a policy tools. Fourth, while referring to copyright and CCL(Creative Commons License) cases, I would like to explain the regulation for big data on data sovereignty. Finally, I would like to suggest a direction of policy design for big data. As for the result of this study, policy design for big data should be distinguished from policy design for mega information to solve data sovereignty issues. From a law system perspective, big data is generated autonomously. It has been accessed openly and shared without any intention. In market perspective, big data is created without any intention. Big data can be changed automatically in case of openness with reference feature such as Linked of Data. Some policy issues such as responsibility and authenticity should be raised. Big data is generated in a distributed and diverse way without any concrete form in technology perspective. So, we need a different approach.
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